Genres on the Web: Computational Models and Empirical Studies (Text, Speech and Language Technology)

Mehler, Alexander (Editor) / Sharoff, Serge (Editor) / Santini, Marina (Editor)

ISBN 10: 9400733720 / ISBN 13: 9789400733725

Edité par Springer, 2012

A propos de cet article

2011 edition. 376 pages. 9.25x6.10x0.86 inches. In Stock.

N° de réf. du vendeur x-9400733720

Détails bibliographiques

• Titre: Genres on the Web: Computational Models and Empirical Studies (Text, Speech and Language Technology)
• Éditeur: Springer
• Date de parution: 2012
• Langue: anglais
• ISBN à 10 chiffres: 9400733720
• ISBN à 13 chiffres: 9789400733725
• Reliure: Paperback
• État de l'article: Brand New

A propos de ce titre

Synopsis

The volume “Genres on the Web” has been designed for a wide audience, from the expert to the novice. It is a required book for scholars, researchers and students who want to become acquainted with the latest theoretical, empirical and computational advances in the expanding field of web genre research. The study of web genre is an overarching and interdisciplinary novel area of research that spans from corpus linguistics, computational linguistics, NLP, and text-technology, to web mining, webometrics, social network analysis and information studies. This book gives readers a thorough grounding in the latest research on web genres and emerging document types.

The book covers a wide range of web-genre focused subjects, such as:
• The identification of the sources of web genres
• Automatic web genre identification
• The presentation of structure-oriented models
• Empirical case studies

One of the driving forces behind genre research is the idea ofa genre-sensitive information system, which incorporates genre cues complementing the current keyword-based search and retrieval applications.

Présentation de l'éditeur

This book presents the latest research on web genres and emerging document types. It covers a wide range of web-genre focused subjects, such as: the identification of the sources of web genres, automatic web genre identification and structure-oriented models.